Error Rate Analysis
Where do people struggle or make errors?
This test finds the exact moments where users go wrong in your flow — and gives you the evidence to fix those steps before they cost you customers.
See what this costs →Why It Matters
Errors in your product aren't random. They cluster at specific steps, and the same mistakes happen to different users for the same reasons.
Here's what's happening in your flow right now:
- Certain steps cause errors for a disproportionate number of users — but you can't see which ones from analytics alone
- Users make the same mistake repeatedly because the interface suggests the wrong action
- Some errors are silent — people think they've succeeded but they've actually done it wrong
- Users who hit multiple errors in a row almost always abandon the entire flow
Every error is a moment where your product asked users to do something — and they couldn't figure out what.
Error Rate Analysis pinpoints those moments so you can fix the steps that are actively driving people away.
What You'll Learn
Error Frequency By Step
See exactly which steps in your flow generate the most errors — so you can prioritise fixes where they'll have the biggest impact.
Error Types And Patterns
Understand whether errors are caused by confusing labels, wrong defaults, unclear instructions, or missing feedback — each requires a different fix.
Recovery Patterns
See how users attempt to recover after making an error — and whether your flow helps them get back on track or makes things worse.
Critical Failure Points
Identify the errors that cause users to abandon the flow entirely — the ones that are directly costing you conversions.
How It Works On Dlyte
Define The Flow
Tell us which flow to test — checkout, sign-up, onboarding, or any multi-step process where errors are costing you conversions.
Matched Testers Attempt The Flow
Participants from your target audience work through the flow while we capture every error, hesitation, and wrong action at each step.
Errors Classified And Mapped
Each error is categorised by type, severity, and step — creating a clear heat map of where your flow is breaking down.
Insight → Better Version
We surface error frequency maps, pattern classifications, and recovery data — and help shape clearer flow options you can test next.
What This Test Does Not Measure
This is not about overall task success — it zooms into specific failure moments within the flow. If you need the bigger picture of whether people can complete the whole task, use a broader usability test.
Looking for that instead? Try a Task-Based Usability Test.
Frequently Asked Questions
A task-based usability test measures whether people can complete the whole task. Error Rate Analysis zooms in on the specific moments where things go wrong — classifying each error by type, severity, and step so you know exactly what to fix. See our Task-Based Usability Test page for details.
An error is any action where the user does something different from the intended path — clicking the wrong button, entering invalid data, misunderstanding a label, or taking a step that leads to a dead end. Silent errors where users think they've succeeded but haven't are also captured.
Absolutely. You can focus the test on a specific section — just the checkout form, just the account setup, or just the configuration step. Narrowing the scope gives you deeper error data for the area that matters most.
We recommend at least 10 testers to identify consistent error patterns. With fewer, you might catch individual mistakes but miss the systematic issues. For complex flows, 15+ testers give you clearer pattern data. See our guide on how many testers you need for details.
Yes. Silent errors — where users believe they've completed a step correctly but haven't — are some of the most valuable findings. These are the errors that never generate support tickets but quietly reduce your conversion rates.
Most tests complete within 24–48 hours. Each tester spends around 10–15 minutes working through the flow, with errors captured and classified in real time across multiple parallel sessions.
More Ways to Test Task Completion
Choose the next test based on what you want to learn.
Task-Based Usability Test
Watch real users attempt key tasks in your product. See where they succeed, hesitate, or give up entirely.
Explore method →
Time-on-Task Benchmarking
Measure how long key tasks actually take. Identify slow steps that feel instant to your team but frustrate real users.
Explore method →
First-Click Test
See where users click first when they land on your page. If the first click is wrong, the rest of the journey usually…
Explore method →
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Guides
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